class_docstr: All functions are replaced to the same `new` function.
  
  Args:
      inputs (:obj:`dict`): Input variable mapping from the original input to another input. Default is the empty dictionary, so the new graph shares the original inputs.
  
  Examples:
  
  .. code-block:: python
  
     pred = Model(...)
     x = nn.Variable(...)
  
     import nnabla.experimental.graph_converters as GC
  
     modifiers = [GC.NoGradModifier()]
     gc = GC.GraphConverter(modifiers)
     pred = gc.convert(pred)
code: def __init__(self):
      super(NoGradModifier, self).__init__()
  
file_path: nnabla/python/src/nnabla/experimental/graph_converters/no_grad.py
imports: import nnabla
  import nnabla.functions
  import numpy
  from nnabla.parameter import get_parameter_or_create
  from nnabla.initializer import ConstantInitializer
  from .graph_converter import FunctionModifier
label_desc: Use image node_id 1 to create a new NoGradModifier object from inherited base classes: FunctionModifier with example: obj = NoGradModifier()